Update app.py

app.py

@@ -4,10 +4,10 @@ from tensorflow.keras.preprocessing.image import img_to_array, load_img
 import numpy as np
 
 # Modell laden
-model = load_model('pokemon-model.keras')
+model = load_model('path/to/your/model.keras')
 
 def classify_image(image):
-    image = image.resize((224, 224))  # passende Größe für das Modell
+    image = image.resize((224, 224))  # Bild auf passende Größe bringen
     image = img_to_array(image)  # Bild in Array umwandeln
     image = np.expand_dims(image, axis=0)  # Dimension hinzufügen
     image /= 255.0  # Normalisierung
@@ -17,9 +17,9 @@ def classify_image(image):
     return {classes[i]: float(prediction[0][i]) for i in range(4)}  # Wahrscheinlichkeiten zurückgeben
 
 iface = gr.Interface(
-    classify_image,
-    gr.inputs.Image(shape=(224, 224)),
-    gr.outputs.Label(num_top_classes=4),
+    fn=classify_image,
+    inputs=gr.inputs.Image(shape=(224, 224)),
+    outputs=gr.outputs.Label(num_top_classes=4),
     title="Pokémon Classifier",
     description="Upload an image of a Pokémon and see the model classify it!"
 )